IEEE 802.15 Low Power Wide Area Network (LPWAN) PHY Interference Model

Robert, Jörg; Rauh, Sebastian; Lieske, Hendrik; Heuberger, Albert

doi:10.1109/icc.2018.8422801

Cited by 11 publications

(7 citation statements)

References 9 publications

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“…The traffic pattern is described by a Poisson distribution to model the discrete and random nature of message transmissions typical of low-power wide area networks [9,24]. Accordingly, the probability for a node to transmit k packets in a time interval T is given by:…”

Section: Analytical Modelmentioning

confidence: 99%

Modeling Communication Reliability in LoRa Networks with Device-level Accuracy

Toro-Betancur

Premsankar

Słabicki

et al. 2021

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications

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Long Range (LoRa) is a low-power wireless communication technology for long-range connectivity, extensively used in the Internet of Things. Several works in the literature have analytically characterized the performance of LoRa networks, with particular focus on scalability and reliability. However, most of the related models are limited, as they cannot account for factors that occur in practice, or make strong assumptions on how devices are deployed in the network. This article proposes an analytical model that describes the delivery ratio in a LoRa network with device-level granularity. Specifically, it considers the impact of several key factors that affect real deployments, including multiple gateways and channel variation. Therefore, the proposed model can effectively evaluate the delivery ratio in realistic network topologies, without any restrictions on device deployment or configuration. It also accurately characterizes the delivery ratio of each device in a network, as demonstrated by extensive simulations in a wide variety of conditions, including diverse networks in terms of node deployment and link-level parameter settings. The proposed model provides a level of detail that is not available in the state of the art, and it matches the simulation results within an error of a few percentage points.

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Section: Analytical Modelmentioning

confidence: 99%

Modeling Communication Reliability in LoRa Networks with Device-level Accuracy

Toro-Betancur

Premsankar

Słabicki

et al. 2021

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications

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“…Furthermore, the external interferers may belong to multiple communication systems or different modes of a system with individual duty cycles and packet lengths, cf. [6], [14]. Hence, from a practical point of view, a detection scheme should be able to cope with multiple classes of interferers and also require only a limited a priori knowledge of the interference characteristics.…”

Section: B Previous Workmentioning

confidence: 99%

“…Hence, we assume that the sampled bursty interference follows a normal distribution with constant variance σ 2 I . For more details on the modeling of the interference from wide-band SRD systems to LPWAN systems, we refer to [6].…”

Section: System Modelmentioning

confidence: 99%

“…In this context, strong interference may affect many packets and limit the performance of LoRaWAN in particular and LPWANs in general. In addition, LPWANs are supposed to coexist with other wireless systems, as explained in [5] and [6]. Many LPWAN systems operate in the license exempt frequency bands.…”

Section: Introductionmentioning

confidence: 99%

“…The SRD bands are utilized by a variety of different applications such as radio frequency identification (RFID) systems, wireless microphones or other communication standards based on IEEE 802.15.4, cf. [6]. It can be expected that the channel load in the SRD bands will continue to grow significantly and therefore the external interference to LPWAN systems resulting in a high probability of collisions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Detectors for Telegram Splitting based Transmission in Low Power Wide Area Networks with Bursty Interference

Kisseleff¹,

Kneissl²,

Kilian³

et al. 2020

Preprint

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Low Power Wide Area (LPWA) networks are known to be highly vulnerable to external in-band interference in terms of packet collisions which may substantially degrade the system performance. In order to enhance the performance in such cases, the telegram splitting (TS) method has been proposed recently. This approach exploits the typical burstiness of the interference via forward error correction (FEC) and offers a substantial performance improvement compared to other methods for packet transmissions in LPWA networks. While it has been already demonstrated that the TS method benefits from knowledge on the current interference state at the receiver side, corresponding practical receiver algorithms of high performance are still missing. The modeling of the bursty interference via Markov chains leads to the optimal detector in terms of a-posteriori symbol error probability. However, this solution requires a high computational complexity, assumes an a-priori knowledge on the interference characteristics and lacks flexibility. We propose a further developed scheme with increased flexibility and introduce an approach to reduce its complexity while maintaining a close-to-optimum performance. In particular, the proposed lowcomplexity solution substantially outperforms existing practical methods in terms of packet error rate and therefore is highly beneficial for practical LPWA network scenarios.

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